---
tags:
- generated_from_trainer
model-index:
- name: gpt2-wikitext2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gpt2-wikitext2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1674

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.4222        | 1.0   | 2916  | 0.7671          |
| 0.7233        | 2.0   | 5832  | 0.5135          |
| 0.4245        | 3.0   | 8748  | 0.2865          |
| 0.2039        | 4.0   | 11664 | 0.1831          |
| 0.1082        | 5.0   | 14580 | 0.1674          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1